Artturi Tilanterä
 |
Follow me on Linkedin
or GitHub |
About me
I have received a M.Sc. degree in 2021 from Aalto University with major in Computer Science / Big Data and Large-Scale Computing and minor in Multidisciplinary Energy Studies.
Currently I work as a doctoral researcher in the Learning + Technology group, where I study teaching of computer science with visualization and automatic feedback. My advisors are Ari Korhonen, Otto Seppälä, and Juha Sorva. My supervisors are Lauri Malmi and Alex Jung.
Interests
Data Structures and Algorithms
Automatic Assessment
Information Visualization
Equity and Diversity
Research highlight
Below is a five minute video of what I am currently studying.
Publications
Journal Articles
M. Begum, P. Haglund, A. Korhonen, V. Lonati, M. Monga, F. Strömbäck, and A. Tilanterä. Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills. Informatics In Education. Published online 18 July 2023.
Conference Publications
C. Koutcheme, A. Tilanterä, A. Peltonen, A. Hellas, and L. Haaranen. Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course. In ITiCSE ’22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. ACM. 2022. p. 75–81.
A. Zavgorodniaia, A. Tilanterä, A. Korhonen, O. Seppälä, A. Hellas, and J. Sorva. Algorithm Visualization and the Elusive Modality Effect. In ICER 2021 - Proceedings of the 17th ACM Conference on International Computing Education Research. ACM. 2021. p. 368–378
A. Tilanterä, G. Mariani, A. Korhonen, and O. Seppälä. Towards a JSON-based Algorithm Animation Language. In: Proceedings - 2021 Working Conference on Software Visualization, VISSOFT 2021. IEEE, 2021.
Workshop Papers
A. Tilanterä. Automatic, Suggestive Feedback in Algorithm Visualisation Exercises. A doctoral consortium short paper in PPIG 2023 - 34th Annual Workshop. Psychology of Programming Interest Group, 2023.
A. Korhonen, G. Mariani, P. Sormunen, J-M. Rybicki, A. Lukkarinen, L. Haaranen, A. Tilanterä, and J. Sorva. New Acos Content Types. (See also the video presentation.) In C. Shaffer, P. Brusilovsky, K. Koedinger, and S. Edwards. Proceedings of SPLICE 2021 workshop CS Education Infrastructure for All III: From Ideas to Practice at 52nd ACM Technical Symposium on Computer Science Education, March 15-16, 2021, Virtual Event.
Theses
Towards Automatic Advice in Visual Algorithm Simulation (Master's thesis, 2020)
Verkkojen piirtäminen hierarkkisella ryhmittelyllä (Graph drawing by hierarchic clustering, Bachelor's thesis, 2014)
Software
JSON-based Algorithm Animation Language: software for recording students’ solutions to JSAV/OpenDSA algorithm visualization exercises.
Python programming exercises with automatic assessment for the Aalto University course CS-A1141 and CS-A1143 Data Structures and Algorithms Y
Automatic grader for the Simulink programming exercises for the Aalto University course Tietotekniikka sovelluksissa (Applications of Computing)
Documentation for the A+ Learning Management System
Teaching
Advising Master's thesis: L. Arkko. Tolerant Client-Side Search in the Context of a Learning Application. Aalto University, 2022.
Teaching assistant for CS-A1141 Tietorakenteet ja algoritmit Y (Data Structures and Algorithms Y) in 2017-2018, then technical support onwards
Head assistant for CS-A1130 Tietotekniikka sovelluksissa (Applications of Computing) in 2019